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Taurus vs Stacktrace

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Taurus compared with Stacktrace
DetailTaurus logo TaurusStacktrace logo Stacktrace
What it doesLead armies of AI agents sanely Real-time steering and guardrails for AI agents
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Freemium
PricingFree: $0 with 10 agents, 2 parallel runs, 2 GB storage. Start: $20/month with 100 agents, 5 parallel runs, 10 GB storage. Plus: $50/month with 300 agents, 12 parallel runs, 50 GB storage. Pro: $200/month with 1000 agents, 30 parallel runs, 250 GB storage. On paid plans, model usage billed at true pr Team: Free per organization, unlimited users, 200 session-hours per month. Enterprise and Gateway: Custom pricing, billed annually.
Key features
  • Hierarchical agent trees with parent-child delegation and coordination
  • Container-isolated agent environments with Linux shell and persistent filesystem
  • Persistent agent memory and context between runs
  • Cron-based scheduled execution with overlap handling
  • Shared /shared folder for cross-agent file collaboration
  • Support for 30+ AI models from multiple providers
  • Web IDE with terminal access and five editor themes
  • Static site dashboards built and maintained by agents
  • Voice input and file attachment support
  • Reads every tool call agents make and blocks unsafe ones before they run
  • Catches stalled and runaway sessions while they run
  • Steers agents back when they go past what was asked
  • Tracks every session's tokens against usual usage
  • Stops credential and data leaks before they leave the machine
  • Inventories all agents, MCP servers and skills in use
  • Blocks dangerous calls before they run in agent hooks and at the gateway
  • Sends every finding to Slack, webhook or SIEM
  • Verifies each agent's identity before access
  • Keeps audit-grade masked records of every action and decision
What makes it different
  • Agentic tree structure where agents collaborate and share context unlike stateless tools
  • Fully isolated Linux containers for each agent with persistent filesystems
  • Persistent memory and context continuity across scheduled runs
  • Mix and match 30+ AI models freely within the same team
  • Pricing per fleet rather than per seat or per token overage
  • Works with Claude Code, Codex, Cursor, Devin and more
  • Runs on your machines, gateways and in the cloud
  • Active steering corrects or stops drifting runs
  • One policy applied across all MCP servers, plugins and skills
  • Continuously monitors components for known vulnerabilities
Community votes00
DR (Domain Rating by Ahrefs)31 no change since last check3 +2 (up) since last check
Trust Flow (Majestic)013
Citation Flow (Majestic)3025
Referring domains (Majestic)11523

5 details filled in for both companies.

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